Gender: Male 
Age: 25-34
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 3
Home: Own 
Employment: Not employed, but looking for work
Occupation: Prefer not to say
Mother's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Father's occupation: Prefer not to say;Armed forces occupations (includes all jobs held by members of the armed forces)
Hobbies: Listen to rock/indie music;Listen to hiphop and rap;Do arts and crafts;Watch sports 
Devices used daily: Laptop;Smartphone 
NLP tools known: Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Spell checker (i.e., correcting misspellings);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Text-to-Speech (i.e, computers being able to read out loud written language) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Digital content creation (e.g., creation of social media content);Generate art;Generic chatbot conversation;Play games;Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Entertainment;Learning;Personal;Creative or artistic 
Prompt 1: Hello, long time no talk! I am going to play a game of Risk on Xbox one. Should I use fortify rules contiguous or adjacent? I can play against up to 4 other AI's and they can be set as balanced, aggressive or defensive. What do you think I should do?
Prompt 2: Häàj{'ö
Prompt 3: Which original Cities Skylines map should I play?
Prompt 4: I'm creating a female character on mass effect, can you please help me name her?
Prompt 5: ello, can you help me write something for my, aunt and my moms dog for their christmas cards?